Creating Possibilities by Predicting Reality and Upholding Integrity

Our purpose

Understanding human behaviors is an important key to create better communities. Increased human understanding serves as oil in a democratic community machine. It improves the relationship between people and groups and simplifies and facilitates the historical and necessary interpersonal exchange of thoughts, considerations, services, and products.

But understanding human behaviors and the use of personal data is something that’s been vividly abused.

Anonymity is critical, a human right, a pillar of free speech and the concern is broad. Three out of four citizens are worried about how their personal data are used and every sixth citizen has already used one of the GDPR rights. The risks include manipulation, mass surveillance, misuse, biases. There is also a great risk associated with leaks since facial data surely can and will be stolen and it’s really difficult to change your face.

Indivd is founded on the idea of safeguarding and maintaining integrity. A technology which does not store personal data. Indivd doesn’t even process sensitive category of personal data like biometric data (facial information, fingerprints, iris scans, etc) and the data is impossible to backtrack to a physical person.

Otherwise, there is a huge risk that privacy-compromising systems will be normalized.

Get to know us

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Get in contact with our founders

Indivd is founded by an international mix of serial entrepreneurs, developers, and leading AI Scientists.

Some of us has built one of the fastest growing SaaS companies in Sweden while others are experts in neural networks, reinforcement learning and has worked on an effort to create a full-scale simulation of the learning human brain.

Get in contact with our founders

Indivd is founded by an international mix of serial entrepreneurs, developers, and leading AI Scientists.

Some of us has built one of the fastest growing SaaS companies in Sweden while others are experts in neural networks, reinforcement learning and has worked on an effort to create a full-scale simulation of the learning human brain.